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Found 4 papers, 0 papers with code
On the Effect of Quantization on Dynamic Mode Decomposition
Dynamic Mode Decomposition (DMD) is a widely used data-driven algorithm for estimating the Koopman Operator. This paper investigates how the estimation process is affected when the data is quantized.
On the Predictive Capability of Dynamic Mode Decomposition for Nonlinear Periodic Systems with Focus on Orbital Mechanics
This paper discusses the predictive capability of Dynamic Mode Decomposition (DMD) in the context of orbital mechanics.
Long-HOT: A Modular Hierarchical Approach for Long-Horizon Object Transport
We address key challenges in long-horizon embodied exploration and navigation by proposing a new object transport task and a novel modular framework for temporally extended navigation.
Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction
Our second contribution is a novel trajectory prediction framework called ALAN that uses existing lane centerlines as anchors to provide trajectories constrained to the input lanes.
